Triple
T6742074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsfield, Massachusetts |
E154105
|
entity |
| Predicate | distanceToBostonMassachusetts |
P798
|
FINISHED |
| Object | about 130 miles west |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 130 miles west | Statement: [Pittsfield, Massachusetts, distanceToBostonMassachusetts, about 130 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBostonMassachusetts Context triple: [Pittsfield, Massachusetts, distanceToBostonMassachusetts, about 130 miles west]
-
A.
distanceFromBoston
chosen
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
B.
distanceToBostonByRoad
Indicates the road travel distance between a given location and Boston.
-
C.
distanceToProvidence
Indicates the measured spatial distance between a given entity’s location and the location of Providence.
-
D.
distanceToWorcester
Indicates the measured distance between a given entity’s location and the city of Worcester.
-
E.
distanceToHartford
Indicates the spatial distance between a given entity’s location and the city of Hartford.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b245988190a9d5260f4872bbea |
completed | March 27, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.